research
∙
11/02/2021
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation
Chronic wounds significantly impact quality of life. If not properly man...
share
research
∙
05/18/2020
Remote health monitoring in the time of COVID-19
Coronavirus disease (COVID-19) is caused by the severe acute respiratory...
research
∙
04/21/2020
Multispectral Video Fusion for Non-contact Monitoring of Respiratory Rate and Apnea
Continuous monitoring of respiratory activity is desirable in many clini...
research
∙
01/02/2020
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
Multiple sclerosis (MS) affects the central nervous system with a wide r...
research
∙
10/27/2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Feature importance estimates that inform users about the degree to which...
research
∙
02/25/2019
Forecasting intracranial hypertension using multi-scale waveform metrics
Objective: Intracranial hypertension is an important risk factor of seco...
research
∙
02/03/2019
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
Estimating what would be an individual's potential response to varying l...
research
∙
10/01/2018
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks
Learning representations for counterfactual inference from observational...
research
∙
10/01/2018
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data
Parkinson's disease is a neurodegenerative disease that can affect a per...
research
∙
02/14/2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patients in the intensive care unit (ICU) require constant and close sup...
research
∙
02/06/2018
Granger-causal Attentive Mixtures of Experts
Several methods have recently been proposed to detect salient input feat...
research
∙
10/17/2017